Media Manipulation and Bias Detection
Auto-Improving with AI and User Feedback
- Objectivity Score
- Objectivity Score
- Objectivity Score
- Objectivity Score
- Objectivity Score
- Objectivity Score
Media Manipulation and Bias Detection
Auto-Improving with AI and User Feedback
HonestyMeter - AI powered bias detection
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Parents
Caution! Due to inherent human biases, it may seem that reports on articles aligning with our views are crafted by opponents. Conversely, reports about articles that contradict our beliefs might seem to be authored by allies. However, such perceptions are likely to be incorrect. These impressions can be caused by the fact that in both scenarios, articles are subjected to critical evaluation. This report is the product of an AI model that is significantly less biased than human analyses and has been explicitly instructed to strictly maintain 100% neutrality.
Nevertheless, HonestyMeter is in the experimental stage and is continuously improving through user feedback. If the report seems inaccurate, we encourage you to submit feedback , helping us enhance the accuracy and reliability of HonestyMeter and contributing to media transparency.
Exaggerating or sensationalizing details to attract attention.
The headline 'Broke daycare centre demands parents cough up $2,000 for their children's art - before calling the COPS on those who 'stole' the paintings' is sensational and may not accurately reflect the situation.
Use a more neutral headline such as 'Daycare Centre Requests Payment for Children's Art to Cover Unpaid Wages'.
Headlines that do not accurately represent the content of the article.
The headline suggests a more aggressive action by the daycare than what is described in the article.
Ensure the headline accurately reflects the content and tone of the article.
Using emotionally charged language to influence readers' feelings.
Quotes like 'I think it's emotional blackmail' and 'It's important parents have the opportunity to take them home' are emotionally charged.
Include more balanced perspectives and avoid emotionally charged language.
Using language that unfairly favors one side over another.
The article uses terms like 'un-Australian' and 'emotional blackmail' which are subjective and biased.
Use neutral language and provide balanced viewpoints from both sides.
- This is an EXPERIMENTAL DEMO version that is not intended to be used for any other purpose than to showcase the technology's potential. We are in the process of developing more sophisticated algorithms to significantly enhance the reliability and consistency of evaluations. Nevertheless, even in its current state, HonestyMeter frequently offers valuable insights that are challenging for humans to detect.